Análise do sequenciamento dos complexos de jogo no voleibol feminino Implicações para o treinamento
Por Gustavo De Conti Teixeira Costa (Autor), João Victor Assis de Souza (Autor), João Felipe Lopes Bernardes (Autor), Augusto Faria de Paula Santana (Autor), Pedro Henrique Cavalcante Vieira (Autor).
Resumo
O objetivo do presente estudo foi o de analisar o fluxo de jogo no vôlei feminino de alto nível, por meio do sequenciamento de complexos de jogos e utilizando a análise de redes sociais com centralidade de autovetor. A amostra se constituiu pela análise de 135 jogos da Superliga Feminina Brasileira de 2021/2022 dos 148 jogos realizados. Os resultados mostraram que os valores mais elevados de autovetor se remetem à continuidade do jogo nos complexos II, III, IV e V. Além disso, independente do efeito do ataque, os valores de autovetor são maiores nos complexos III, IV e V. A partir dos resultados encontrados, a análise de redes sociais forneceu a compreensão do fluxo dos complexos de jogo no voleibol feminino de elite do Brasil, mostrando que os complexos de jogo pouco abordados na literatura, por terem baixa ocorrência, devem ser considerados importantes no treinamento de alto rendimento.
Referências
ARAÚJO, Carla Regina et al. Reception-attack relation in men’s and women’s volleyball during the Rio 2016 Olympics. Journal of physical education and sport, v. 20, p. 2008-2012, 2020.
BONACICH, Phillip. Some unique properties of eigenvector centrality. Social networks, v. 29, n. 4, p. 555-564, 2007.
BORGATTI, Stephen P. Centrality and network flow. Social networks, v. 27, n. 1, p. 55-71, 2005.
COSTA, Gustavo et al. Differences in game patterns between male and female youth volleyball. Kinesiology, v. 44, n. 1, p. 60-66, 2012.
COSTA, Gustavo Conti et al. Determinants of attack tactics in youth male elite volleyball. International journal of performance analysis in sport, v. 11, n. 1, 2011.
COSTA, Gustavo Conti Teixeira et al. Association between effect of reception and game procedures in high-level brazilian volleyball: the case of the women’s “Superliga” champion team. Revista brasileira de cineantropometria e desempenho humano, v. 19, n. 6, p. 663-675, 2017.
DE ANGELIS, Otávio Guerson Rodrigues et al. Characterizing the pattern of rally times and complexes in school volleyball. Journal of physical education, v. 31, n. 1, p. 1-12, 2020.
DRIKOS, Sotirios et al. Effect of quality of opposition on game performance indicators in elite male volleyball. International journal of sports science & coaching, v. 17, n. 1, p. 169-177, 2022.
DRIKOS, Sotirios et al. Variations in attack patterns between female and male outside hitters in top-level volleyball. International journal of sports science & coaching, v. 18, n. 1, p. 245-256, 2023.
FLEISS, Joseph L.; LEVIN, Bruce; PAIK, Myunghee Cho. Statistical methods for rates and proportions. 3. ed. New Jersey, USA: John Wiley & Sons, 2013.
GIATSIS, George; DRIKOS, Sotirios; LOLA, Afroditi. Analysis of match report indicators in men’s volleyball olympics and world championships (2014–2021) depending on the type of final score. International journal of sports science & coaching, v. 18, n. 3, 2022.
HILENO, Raúl; ARASANZ, Marta; GARCÍA-DE-ALCARAZ, Antonio. The sequencing of game complexes in women’s volleyball. Frontiers in psychology, v. 11, p. 1-7, 2020.
HURST, Marta et al. Systemic mapping of high-level women’s volleyball using social network analysis: the case of serve (K0), side-out (KI), side-out transition (KII) and transition (KIII). International journal of performance analysis in sport, v. 16, n. 2, p. 695-710, 2016.
LAPORTA, Lorenzo et al. Coexistence of distinct performance models in high-level women’s volleyball. Journal of human kinetics, v. 78, n. 1, p. 161-173, 2021.
LAPORTA, Lorenzo; AFONSO, José; MESQUITA, Isabel. Interaction network analysis of the six game complexes in high-level volleyball through the use of eigenvector centrality. Plos one, v. 13, n. 9, 2018.
LAPORTA, Lorenzo et al. Sequence and efficacy of game complexes in high-level women’s volleyball: a novel perspective through social network analysis. International journal of sports science & coaching, v. 18, n. 3, p. 867-873, 2023.
LIMA, Vanessa da Silva et al. Status of match analysis research in indoor and beach volleyball: a bibliometric analysis. Retos, v. 50, p. 838-848, 2023.
LÓPEZ, Eduardo et al. Spike performance in K1: influence of rotation and reception area on high level men’s volleyball teams. Retos, v. 48, p. 213-221, 2023.
LOUREIRO, Manuel et al. A comprehensive mapping of high-level men’s volleyball gameplay through social network analysis: analysing serve, side-out, side-out transition and transition. Montenegrin journal of sports science and medicine, v. 6, n. 2, p. 35-41, 2017.
MARTINS, João Bernardo et al. Inter-team variability in game play under critical game scenarios: a study in high-level men. Retos, v. 43, p. 1095-1105, 2022.
NASCIMENTO, Marcos Henrique do et al. Setting decision making in male high- level volleyball: a study from ecological theory and social network analysis perspective. Retos, v. 50, p. 1098-1107, 2023a.
NASCIMENTO, Marcos Henrique et al. Decision making in men’s high-level volleyball: analysis of the setter based on game performance. Journal of physical education and sport, v. 23, n. 3, p. 603-612, 2023b.
NASCIMENTO, Marcos Henrique et al. The decision-making of high-level volleyball setters in the 2021-2022 volleyball men’s Superliga: does the opponent matter? Perceptual and motor skills, v. 130, n. 6, p. 2603-2620, 2023c.
NEWMAN, Mark E. J. Modularity and community structure in networks. Proceedings of the national academy of sciences, v. 103, n. 23, p. 8577-8582, 2006.
PRAÇA, Gibson Moreira et al. Integrating notational and positional analysis to investigate tactical behavior in offensive and defensive phases of football matches. Proceedings of the institution of mechanical engineers, Part P: Journal of sports engineering and technology, 2022.
ROCHA, Augusto Cézar Rodrigues et al. Predictive factors of the attack efficacy: the case of the brazilian women’s volleyball league champion team. Revista brasileira de cineantropometria e desempenho humano, v. 21, p. 1-12, 2019.
ROCHA, Augusto Cézar Rodrigues et al. Analysis of the setting and predictive factors of the effect of attack according to game ecology: the case of female volleyball. Kinesiology, v. 52, n. 2, 2020.
ROCHA, Augusto Cézar Rodrigues et al. Setting distribution analysis in elite-level men’s volleyball: an ecological approach. Research, society and development, v. 10, n. 1, p. 1-10, 2021.
ROCHA, Augusto Cezar Rodrigues et al. Complex I in male elite volleyball: an interactional analysis according to reception location. International journal of performance analysis in sport, v. 22, n. 1, p. 77-89, 2022.
ROCHA, Augusto Cezar Rodrigues et al. Inter e intra-variability of the best ranked teams: A network analysis in male high-level volleyball. Plos one, v. 18, n. 2, p. 1-10, 2023a.
ROCHA, Augusto Cezar Rodrigues et al. Is it possible for the reception and the player-receiver to influence the offensive construction in volleyball? An ecological vision and intragame procedural relationships in high-level teams. International journal of performance analysis in sport, v. 0, n. 0, p. 1-15, 2023b.
SILVA, Miguel; MARCELINO, Rui; LACERDA, Daniel; JOÃO, Paulo Vicente. Match analysis in volleyball: a systematic review. Montenegrin journal of sports science and medicine, v. 5, p. 35-46, 2016.
SOTIROPOULOS, Konstantinos; DRIKOS, Sotirios; BARZOUKA, Karolina. Variations in attack patterns between female and male opposite players in top-level volleyball. International journal of sports science & coaching, v. 17, n. 2, p. 400-411, 2022.
TABACHNICK, Barbara; FIDELL, Linda. Using multivariate statistics. 6. ed. Boston, USA: Pearson, 2013.